Spain – Medical consumables – Contratación del suministro de cobertura quirúrgica de un solo uso, en régimen de depósito, y su gestión, distribución, almacenamiento y reposición, para el Bloque Quirúrgico del Hospital Comarcal d'Amposta, S.A.M.
Spain – Medical consumables – Contratación del suministro de cobertura quirúrgica de un solo uso, en régimen de depósito, y su gestión, distribución, almacenamiento y reposición, para el Bloque Quirúrgico del Hospital Comarcal d'Amposta, S.A.M.
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→The American Institute in Taiwan Public Diplomacy Section announces an open competition for one cooperative agreement to support the implementation of four Global Cooperation and Training Framework Classic workshops in Taiwan during calendar year 2027. The GCTF is a capacity building platform that brings together government officials, industry experts, academics, and civil society representatives to exchange practical experience and promote professional cooperation on emerging regional and global challenges. Workshop topics will be jointly identified by GCTF partners and may address resilience, emerging technologies, economic security, trusted supply chains, democratic governance, and other shared priorities. The selected recipient will serve as the implementation partner responsible for comprehensive operational and administrative support, including venue coordination, participant registration, international travel support, interpretation, audiovisual services, workshop materials, vendor coordination, site visits, monitoring and evaluation, and required grant reporting. Most workshops are expected to take place in Taipei, with one anticipated in southern Taiwan. AIT and GCTF partners will provide policy guidance, strategic direction, and substantive oversight. The project is intended to strengthen international cooperation, promote policy dialogue and capacity building, improve continuity across GCTF programming, and advance practical exchanges among government, industry, academia, and civil society.
Grant$500KCloses 2026-10-06USOtherBJA FY 2026 Daniel Anderl Judicial Security and Privacy Program
→This is a notice of funding opportunity (NOFO) for the BJA FY 2026 Daniel Anderl Judicial Security and Privacy Program. This opportunity supports states and units of local government, including tribal governments that perform law enforcement functions, in creating and expanding efforts to protect the safety and security of federal judges by preventing the release of covered information about at-risk individuals and their immediate family members to ensure federal judges are able to administer justice fairly without fear of personal reprisal from individuals affected by the decisions they make in the course of carrying out their public duties. Many federal judges' personal information resides in state and local government records, databases, and registries that are publicly accessible and searchable and outside federal control. Grants to state and local entities support federal-state-local partnerships to protect federal judicial officers and their families. Funds awarded under this grant program must be used exclusively for protecting federal judges and their immediate family members as defined in statute. Applicants that have existing judicial protection programs should clearly delineate how grant funds will be used solely for federal judges and describe cost allocation methodologies to ensure appropriate separation of expenses. Expenses that also benefit other judges are acceptable, provided that any costs specific to state, local, or tribal judges are separately tracked and are not charged to this grant.
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→The Genomics Research to Elucidate the Genetics of Rare Diseases:innovation (GREGoRi) initiative seeks to accelerate a paradigm shift in rare disease diagnosis by reimagining the tools, molecular technologies and analytical approaches used to identify the causal gene(s) and/or variant(s) underlying rare genetic disorders. This Notice of Funding Opportunity is intended to stimulate the development and testing of highly innovative experimental or computational approaches for rare disease diagnosis, that have the potential to make transformative improvements to the current state of the art.
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